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PreparingtoInstallHAWQ.html
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<h3 class="title-container">Preparing to Install HAWQ</h3>
<div class="content">
<!-- Python script replaces main content -->
<div id ="main"><div style="visibility:hidden; height:2px;">Pivotal Product Documentation : Preparing to Install HAWQ</div><div class="wiki-content group" id="main-content">
<p>This document describes how you can install HAWQ manually. HAWQ can be installed along with Pivotal HD Enterprise using the Command-Line Interface (CLI). However, if you choose to not install HAWQ using the CLI, then you need to follow the instructions in this chapter.</p><p><style type="text/css">/*<![CDATA[*/
div.rbtoc1400035790716 {padding: 0px;}
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/*]]>*/</style><div class="toc-macro rbtoc1400035790716">
<ul class="toc-indentation">
<li><a href="#PreparingtoInstallHAWQ-Pre-installation">Pre-installation</a></li>
<li><a href="#PreparingtoInstallHAWQ-SystemRequirements">System Requirements</a></li>
<li><a href="#PreparingtoInstallHAWQ-PreparingHDFS">Preparing HDFS</a></li>
</ul>
</div></p> <div class="aui-message warning shadowed information-macro">
<p class="title">Note:</p>
<span class="aui-icon icon-warning">Icon</span>
<div class="message-content">
<p>This document does not describe how to install the Pivotal Extension Framework (PXF), which enables SQL querying on data in the Hadoop components such as HBase, Hive, and any other distributed data file types. To install Pivotal Extension Framework (PXF), see the <em>Pivotal Extension Framework Installation and User Guide</em>.</p>
</div>
</div>
<h2 id="PreparingtoInstallHAWQ-Pre-installation">Pre-installation</h2><p align="LEFT">To install HAWQ manually, check that you have met the following prerequisites:</p><ul><li>Review the System Requirements</li><li>Prepare HDFS</li></ul> <div class="aui-message warning shadowed information-macro">
<p class="title">Note:</p>
<span class="aui-icon icon-warning">Icon</span>
<div class="message-content">
<p>These tasks should be performed for <em>all</em> hosts in your HAWQ array (master, standby master and segments).</p>
</div>
</div>
<h2 id="PreparingtoInstallHAWQ-SystemRequirements">System Requirements</h2><p align="LEFT">Check that you meet the following system requirements before you install HAWQ:</p><p align="LEFT"><strong>Operating System:</strong></p><ul><li>RedHat 6.4 and 6.2, 64 bit</li><li>CentOS 6.4 and 6.2, 64 bit</li></ul><p align="LEFT"><strong>Minimum CPU:</strong> Pentium Pro compatible (P3/Athlon and above)</p><p align="LEFT"><strong>Minimum Memory: </strong>16 GB RAM per server</p><p align="LEFT"><strong>Disk Requirements:</strong></p><ul><li>150MB per host for Greenplum installation</li><li>Approximately 300MB per segment instance for meta data</li><li>Appropriate free space for data: disks should have at least 30% free space (no more than 70% capacity)</li><li>High-speed, local storage</li></ul><p align="LEFT"><strong>Network Requirements:</strong></p><ul><li>Gigabit Ethernet within the array</li><li>Dedicated, non-blocking switch</li></ul><p align="LEFT"><strong>Software and Utilities:</strong> bash shell, GNU tar, and GNU zip</p><h2 id="PreparingtoInstallHAWQ-PreparingHDFS">Preparing HDFS</h2><p align="LEFT">You need to complete the following steps to configure HDFS:</p><ol><li>Download the HDFS binaries. See the <em>Pivotal HD Enterprise Installation and Administrator Guide</em> for more information.</li><li>Install the rpms. See the <em>Pivotal HD Enterprise Installation and Administrator Guide</em> for more information.</li><li>To make sure HDFS block files can be read by other users, configure OS file system umask to 022.</li><li>Start up the HDFS service. See the <em>Pivotal HD Stack and Tool Reference Guide</em> for more information.</li><li><p>Add the following line into ${HADOOP_HOME}/etc/hadoop/hadoop-env.sh</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;">umask 022 </pre>
</div></div></li><li><p>Add the following parameter to hdfs-site.xml</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;"><property>
<name>dfs.datanode.data.dir.perm</name>
<value>755</value>
<description>Permissions for the directories on on the local filesystem where the DFS data node store its blocks. The permissions can either be octal or symbolic.</description>
</property></pre>
</div></div></li><li>Edit the <em>/hdfs-install-directory/etc/hadoop/hdfs-site.xml</em> file. To do this, change the <em>dfs.block.local-path-access.user </em>to the user who starts HDFS if the short circuit feature is enabled in libhdfs3. See the<em> HAWQ Configuration Parameter Reference</em> for more information.</li><li><p>Set the<em> dfs.namenode.name.dir</em> and <em>dfs.datanode.data.dir</em> to your preferred path as shown in the example:</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;"><configuration>
<property>
<name>dfs.support.append</name>
<value>true</value>
</property>
<property>
<name>dfs.client.read.shortcircuit</name>
<value>true</value>
</property>
<property>
<name>dfs.block.local-path-access.user</name>
<value>gpadmin</value>
<description>
specify the user allowed to do short circuit read
</description >
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/home/gpadmin/hadoop-2.0.0-alpha/dfs/name</value>
</property>
property>
<name>dfs.datanode.data.dir</name>
<value>file:/home/gpadmin/hadoop-2.0.0-alpha/dfs/data</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.datanode.max.transfer.threads</name>
<value>40960</value>
</property>
<property>
</property>
<property>
<name>dfs.client.socket-timeout</name>
<value>300000000</value>
</property>
<property>
<name>dfs.datanode.handler.count</name>
<value>60</value>
</property>
<property>
<name>ipc.client.connection.maxidletime</name>
<value>3600000</value>
</property>
<property>
<name>ipc.server.handler.queue.size</name>
<value>3300</value>
</property>
</property>
<property>
<name>ipc.client.connection</name>
<value>3</value>
</property>
<property>
<name>dfs.datanode.max.transfer.threads</name>
<value>40960</value>
</property>
<property>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.accesstime.precision</name>
<value>-1</value>
</property>
<property></pre>
</div></div></li><li><p align="LEFT">To configure the JVM, edit the<em> /hdfs-install-directory/etc/hadoop/hadoop-env.sh</em></p><p align="LEFT">This configures the memory usage of the primary and secondary namenodes and datanode. <span style="color: rgb(34,34,34);">For example, on servers with 48GB memory, if HDFS and HAWQ are on two separate clusters, Pivotal recommends that the namenodes use 40GB (-Xmx40960m), while each datanode uses 6GB and with a stack size of 256KB (-Xmx6144m -Xss256k).</span></p></li><li><p align="LEFT">To verify that HDFS has started, run the following command sequence.</p><ol><li><p>List the directory:</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;">hadoop fs -ls /</pre>
</div></div></li><li><p>Create a test directory: </p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;">hadoop fs -mkdir /test</pre>
</div></div><p><em> <br/> </em></p></li><li><p>Put a test file <em>(/path/file</em>) into the HDFS root directory:</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;">hadoop fs -put /path/file /</pre>
</div></div></li><li><p>Perform a get on<em> /file</em> from HDFS to the current local file system directory:</p><div class="code panel pdl" style="border-width: 1px;"><div class="codeContent panelContent pdl">
<pre class="theme: Confluence; brush: java; gutter: false" style="font-size:12px;">hadoop fs -get /file ./</pre>
</div></div></li></ol></li></ol>
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